CoralLM-1B

CoralLM-1B after a short instruction-tuning pass to clean up the scattered behavior of the raw merge — tighter answers, cleaner endings, less rambling.

Merge

Method: TIES (density 0.5 per model, normalize: true)
Base / anchor: meta-llama/Llama-3.2-1B-Instruct

Components:

Model	Weight	Brings
`EpistemeAI/Reasoning-Llama-3.2-1B-Instruct-v1.2`	0.30	reasoning, CoT
`ai-nexuz/llama-3.2-1b-instruct-fine-tuned`	0.30	math, coding, logic
`bunnycore/Llama-3.2-1B-General-Best`	0.25	general , creative, uncensored

Heal pass (training)

Method: QLoRA (4-bit NF4, LoRA r=16)
Data: 200 rows sampled from teknium/OpenHermes-2.5
Epochs: 3 · max_len: 1024 · grad_accum: 8 · packing on
Loss: stable ~1.5 throughout (learning without overfitting the 200 rows)

Tests in Files

Assessment

The heal pass did its job: output is tighter, the poem lost its essay-style afterword, and answers end when they should. Reasoning ability is unchanged, just more confidently expressed, which cuts both ways (cleaner right answers, more assertive wrong ones). The 200-row pass tuned behavior without touching the merged capabilities underneath.

Safety: the heal pass did not restore refusal behavior. Still effectively uncensored, will attempt unsafe requests.

NotHereNorThere/CoralLM-1b

CoralLM-1B

Merge

Heal pass (training)

Tests in Files

Assessment

NotHereNorThere/
CoralLM-1b